We need to build machine learning tools to augment machine learning engineers
As the use of analytics proliferate, companies will need to be able to identify models that are breaking bad.
Analysis of notable trends based on original surveys, usage, and data sets.
As the use of analytics proliferate, companies will need to be able to identify models that are breaking bad.
An overview of adoption, and suggestions to companies interested in AI technologies.
An overview of commercial and industrial applications of reinforcement learning.
Ben Lorica explains how to guard against flaws and failures in your machine learning deployments.
To become a “machine learning company,” you need tools and processes to overcome challenges in data, engineering, and models.
Ben Lorica discusses the state of machine learning.
AI Conference chairs Ben Lorica and Roger Chen reveal the current AI trends they've observed in industry.
Find out what pays and what doesn't for software engineers, developers, and other programming professionals.
Tools, trends, what pays (and what doesn’t) for data professionals in Europe
Results and analysis from O'Reilly's fourth annual survey of data science professionals.
Find out what pays and what doesn't for programming professionals.
How variables like job title, location, tools, and tasks affect salary and other compensation.